Optimization of Reactive Power Compensation Based on Fuzzy Mathematics

• Main Authors: Lunzhu Dawa, Kui Tao, Ping Ni, Dunzhu Basang, Zhihua Dong, Feng Xu, Zhiyuan Pan
• Format: Article
• Language: English
• Published: EDP Sciences 2019-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/62/e3sconf_icbte2019_01020.pdf

This paper proposes a heuristic method for optimization of reactive power compensation. Firstly, two fuzzy sets of node voltage and cost savings are formed. The compensation location with the greatest compensation suitability is obtained by fuzzy reasoning. Considering the operation modes of several different loads, the mathematical model of reactive power compensation optimization is established, and fuzzy multi-objective optimization is adopted. The method solves the fixed and variable compensation capacity, and calculates the compensation capacity for each existing compensation position cycle until the change does not occur. The above process is repeated until the new compensation position is no longer saved, and finally all the compensation positions, capacity and total savings can be obtained. The example analysis shows the effectiveness and practicability of the method.